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All Journal ILMU KELAUTAN: Indonesian Journal of Marine Sciences BULETIN OSEANOGRAFI MARINA CAUCHY: Jurnal Matematika Murni dan Aplikasi Journal of Geoscience, Engineering, Environment, and Technology MAJALAH ILMIAH GLOBE BULLETIN OF THE MARINE GEOLOGY Dinamika Maritim

Hanah Khoirunnisa, Hanah

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Author-ID : 616441

Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Education Engineering Environmental Science Mathematics Physics Other

Published : 10 Documents Claim Missing Document

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Using Side-Scan Sonar instrument to Characterize and map of seabed identification target in punggur sea of the Riau Islands, Indonesia. Lubis, Muhammad Zainuddin; Anurogo, Wenang; Khoirunnisa, Hanah; Irawan, Sudra; Gustin, Oktavianto; Roziqin, Arif
Journal of Geoscience, Engineering, Environment, and Technology Vol 2 No 1 (2017): JGEET Vol 02 No 01 : March (2017)
Publisher : UIR PRESS

Punggur sea has many habitats, object, and structured of seabed with hight tide and wave. Side scan sonar is an underwater acoustic instrument for identification of seabed. This research aims to classify types of seabed and measure seabed identification into the sea water with grain size (dB), location, altitude (m) and target using side scan sonar instrument. This research also uses one types of side scan sonar in one places with 3 line of collecting data to get more variant seabed. Side scan sonar data of 20 km of side-scan sonar profiling (CM2, C-MAX Ltd, UK) with altitude max 20 m and a working acoustic frequency of 325 kHz with the zone is taken in the punggur sea (104Â°08.7102 E, 1Â°03.2448 N until 1Â°03.3977N 104Â°08.8133 E). The data side scan sonar processed using max view software to display the image of the seabed. Results of seabed imagery in the punggur sea on track 1 have Objects found on the ship coordinates 03.3101N 1 Â° and 104 Â° 08.7362 E with the highest gain value is 6 dB, altitude 18 m on ping 75. Linear regression has y = 0.7016x+12.952 with R2 = 0.4125 (41%). Track 2 has target 1 is the sunken object on the seabed, while objects in the form of sand can be seen clearly. Objects found on the sunken object coordinates 1Â°02.8143 N Â° and 104Â°08.5228 E with highest gain value is 9 dB with altitude 17.7 m and data ping 69. Linear regression has y = 0.2093+12.577 with R2 = 0.2093 (20%). Track 3 has Target 1 is the ship object on the seabed, while objects in the form of sand can be seen clearly. Objects found on the sunken object coordinates 1Â°02.5817 N and 104Â°08.7337 E with the highest gain value is 8 dB with altitude 16.5 m and data ping 3984. Linear regression has y = 0.5106x +12.84 with R2 = 0.5106 (51%). Track 1 has many targets identification results compared Track 2 and 3.

The Coherency and Correlation between Sea Surface Temperature and Wind Velocity in Malacca Strait: Cross Wavelet Transform and Wavelet Coherency Application Khoirunnisa, Hanah; Wisha, Ulung Jantama; Lubis, Muhammad Zainuddin
Journal of Geoscience, Engineering, Environment, and Technology Vol 2 No 3 (2017): JGEET Vol 02 No 03 : September (2017)
Publisher : UIR PRESS

This study tried to observe the correlation and coherency between sea surface temperature (SST) and wind velocity in the Malacca Strait at the year of 2015. The SST and wind velocity data with 6 hours interval step have been used in this study. S-Transform, the Cross Wavelet Transform, and the Wavelet Coherency were applied to observe the influence of the variation of sea surface temperature to the wind velocity in Malacca Strait. These methods could produce the phase lag and the time of occurrence between them. S-Transform was used to show the spectrum energy of the sea surface temperature variation. The strongest correlation between them has the period of 32 days during July to August and October to November at each point with significance level of 95 %. The coherency of them has the range of 4 to 64 days at each point. The last result is the spectrum energy of SST variation that has the period of 5 to 50 days at each point. It was similar to the result of the correlation and coherence period between the wind velocity and the SST data

Co-Authors Aditya Hanafi, Aditya Alfi Satriadi Arif Roziqin, Arif Aris Ismanto Aziiz, Shafan Abdul Catur Istiyanto, Dinar Dirgan Timbang, Dirgan Firmansyah, Raka Ganda Surya, Ganda Gumbira, Gugum Guspriyanto, Deny Guspriyanto, Deny Hamid, Affandy Mandala, Gio Fitra Tirta Mandala, Gio Fitra Tirta Mardi Wibowo Muhammad Helmi Muhammad Zainuddin Lubis Naqiya, Sadiyana Yaqutna Oktavianto Gustin Pasma, Gumilang Ramadhan Pradananta, Galih Rachman, Reno Arief Rahili, Nurkhalis Ramadhan, Wahyu Rizky Ramadhan, Wahyu Rizky Reni Wijayanti Rizky, Fajar Rizky, Fajar Situmorang, Arini Dewi Situmorang, Arini Dewi Subarkah, Aris Sudra Irawan, Sudra Suharyanto, Hamzah Haru Radityo Suranto Suranto Tagore, Rafa Fahrezi Ulung Jantama Wisha Wenang Anurogo, Wenang Widagdo, Aloysius Bagyo Yuniardi, Rizaldi Caesar

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